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TZXคิดถึง · 2023年05月01日

请老师解答一下疑问

NO.PZ2023040502000027

问题如下:

Charlent regresses monthly total returns of the Bangkok SET Index on one-month Libor (for a US dollar–denominated contract). The period of the study is from July 2006 to December 2013. To improve the statistical validity of the variables, for both the SET Index and Libor, Charlent uses the natural logarithms of one plus the monthly returns in the regression calculation.


Charlent next regresses the natural logarithm of one plus the SET Index monthly returns on the natural logarithm of one plus Libor, the natural logarithm of one plus the effective Fed funds rate, and the $/£ exchange rate. The results are reported in the following Exhibit.


Then report the pairwise correlations of the variables used in the second regression.


Geoffrey Small states that the highly significant F-statistic of the second regression along with the increased R2 of the second regression means that the addition of the Fed funds rate and the $/£ exchange rate to the analysis provides more reliable estimates of linear associations than the first regression.

Regarding Geoffrey Small’s statement about the second regression, which of the following is most accurate?

选项:

A.

It is true that the second regression has substantially greater explanatory power than the first regression.

B.

The second regression displays multicollinearity.

C.

The F-statistic of the second regression is likely underestimated.

解释:

The high pairwise correlations of Exhibit 5, especially the correlation between Libor and Fed funds, suggest a multicollinearity problem. In the presence of multicollinearity, R2s and F-statistics are overstated, and estimates of the coefficients become extremely imprecise and unreliable.

1、本题我有一个疑惑的点,就是对于第二个模型,确实adjusted R^2变大的,两个模型的样本量也相同,所以其实解释力度是提高了的,那么A为什么是错的?

2、我自己的理解是由于多重共线,所以无法判断x对Y的实际影响,导致R^2和AR^2是不准确的,可以这么理解吗?

3、如果我的理解没有错,更进一步,异方差、序列相关是否也有类似的性质?

1 个答案
已采纳答案

星星_品职助教 · 2023年05月01日

同学你好,

是的。第二个模型存在多重共线性,即模型本身就是有错误的,此时考虑Adj. R-squared没有意义。

同样,如果模型本身就因异方差或者序列相关而不成立,那么也不需要去考虑Adj. R-squared

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